Machine Learning Engineer

Hadrian Automation•Los Angeles, CA

2d•$160,000 - $250,000

About The Position

Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We recently raised $260 million dollar Series C to accelerate this mission. We are excited to be launching a new Factory in Mesa, Arizona, a 270,000 square foot facility that will create 350 new jobs immediately. We are opening a new headquarters to support thousands of future hires, launching Hadrian Maritime to serve naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian works with startups, Tier 1 and Tier 2 suppliers, and major defense contractors across space, shipbuilding, and aviation to scale production, reduce costs, and accelerate delivery on mission-critical programs. We are backed by leading investors including Lux Capital, Founders Fund, and Andreessen Horowitz. Our fast-growing team is united by a shared mission to reindustrialize American manufacturing for the 21st century and beyond! The Role: Hadrian is building advanced software systems to automate Design for Manufacturing (DFM) analysis and accelerate precision manufacturing. Our homebuilt DFM platform analyzes design prints and CAD models to make logical, data-driven determinations about whether and how Hadrian can manufacture a part. We work closely with some of the best operators in the world to identify high-impact opportunities where software, computer vision, and machine learning can meaningfully augment or automate complex engineering judgment. As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end.

Requirements

Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)

Nice To Haves

A Master’s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning
Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
Prior experience with distributed training using cloud infrastructure
Prior experience with visual document understanding and layout analysis
Published research or achieved SOA results on an ML application
Prior experience with multi-modal deep learning models
You have a passion for manufacturing and believe that the industry needs better software
Prior experience working in a startup environment

Responsibilities

Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis
Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users
Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation
Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications